u/davidnguyen191

The winner of Anthropic’s hackathon just open-sourced his entire Claude Code setup.

And this thing is insane.

Not just “AI coding prompts.”

It’s basically a full AI coding operating system:
- 48 specialized AI agents
- 183 coding & memory skills
- 79 workflow commands
- security scanning system with 1,282 tests
- 98% coverage

The interesting part isn’t the numbers though.

It’s the architecture.

The system can:
- remember previous sessions
- review its own code
- run security checks
- research before coding
- learn from old workflows

And apparently it works across:
Claude Code, Cursor, Codex, Gemini, Copilot, etc.

Feels like we’re moving from:
“AI assistants”
to
“autonomous AI engineering teams.”

182K⭐ GitHub stars already.

I’ll drop the link in the comments 👇

A founder just released ~2,000 DESIGN.md files extracted from companies like:
- Stripe
- Cursor
- Linear
- Anthropic
- ElevenLabs
…and more.

Not screenshots.

Actual design system instructions:
spacing rules, design tokens, layout logic, component behaviors, styling patterns, etc.

Which means you can basically:

1. Find a design style you like
2. Copy the DESIGN.md
3. Drop it into:
   - .claude.md
   - .cursorrules
   - AGENTS.md
   - or docs/design-system.md

Then prompt:
> “Build the landing page using @docs/design-system.md”

That’s it.

Feels like we’re moving from:
“designing interfaces”
to
“orchestrating design systems for AI agents.”

Honestly, AI coding workflows are evolving insanely fast right now.

Link in Comment ->

Google quietly dropped one of the craziest AI announcements at I/O 2026:

Antigravity 2.0.

And honestly… this no longer looks like “AI coding.”

It looks like managing an entire company of AI agents.

The biggest shift:
Antigravity is no longer just an AI-powered IDE.

It’s becoming a full “Agent Command Center” where multiple AI agents can:
• spawn sub-agents
• work in parallel
• run scheduled tasks
• control browsers
• clarify requirements themselves
• execute async workflows for hours

Some insane features:
- /goal → agent keeps working until finished
- /grill-me → AI interviews YOU to clarify requirements
- voice realtime transcription
- project-based permissions
- multi-agent orchestration
- MCP + local models support
- Gemini 3.5 Flash optimized for long-running agents

The wildest part?

Google demoed AI agents building Antigravity Agent OS in ~12 hours using around 2.6 BILLION tokens.

We’re rapidly moving from:
“AI helps developers code”
to
“developers supervise autonomous AI engineering teams.”

This changes everything.

Not a chatbot.
Not another wrapper.
An actual operating system for multi-agent AI systems.

It’s called AgentScope.

What makes it crazy:

• Visual workflow builder for managing agent-to-agent communication
• Native MCP support → agents can use external tools & apps
• RAG + Memory built in → agents remember long-term context
• Multi-agent architecture → planner agents, coder agents, reviewer agents working together
• Fully open-source

This feels like a shift from:
“using AI”
to
“managing a workforce of AI agents.”

The biggest thing most people still don’t understand:

The future probably won’t be one super AI.

It’ll be teams of specialized AI agents collaborating like digital companies.

And frameworks like AgentScope are becoming the infrastructure layer for that future.

👇 [Link Github: AgentScope]
https://github.com/agentscope-ai/agentscope